Job Overview & Organization Mission

Develop, validate, and recalibrate sophisticated mathematical models for market risk, liquidity stress testing, and Basel capital adequacy at ANZ.

ANZ is seeking a Senior Quantitative Risk Analyst to join our Group Risk Analytics division at ANZ Centre, Melbourne. You will build and optimize quantitative models measuring Value at Risk (VaR), Expected Shortfall (ES), counterparty credit risk (CCR), and stress-testing frameworks for institutional trading desks and treasury operations in compliance with APRA APS 116/117.

As a key member of the team at ANZ Banking Group in Melbourne, VIC, you will play a central role in driving excellence, upholding top-tier Australian industry standards, and contributing directly to the strategic milestones of one of the nation’s premier employers.

Key Duties & Core Responsibilities

In this critical role, your operational duties and key performance responsibilities will encompass:

• Develop, implement,: Develop, implement, and maintain quantitative market risk and interest rate risk in the banking book (IRRBB) models.
• Execute Monte: Execute Monte Carlo simulations, historical backtesting, and macroeconomic sensitivity scenarios.
• Ensure quantitative: Ensure quantitative models strictly adhere to APRA Basel III/IV internal ratings-based (IRB) capital requirements.
• Program high-speed: Program high-speed risk engines and analytics pipelines in Python, C++, and SQL.
• Collaborate with: Collaborate with independent model validation teams and respond to APRA regulatory inquiries.

Required Qualifications, Licenses & Experience

To be successful in this position at ANZ Banking Group, candidates are expected to satisfy the following essential selection criteria:

• Mandatory Qualification: Master’s or PhD in Quantitative Finance, Mathematics, Statistics, Physics or CFA / FRM.
• Relevant Experience: Minimum 5+ Years of verified industry experience in Australia or recognized overseas equivalence.
• 5+ years of quantitative finance experience within a major investment bank, treasury, or rating agency.
• Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Econometrics, Physics, Quant Finance).
• Expert coding skills in Python (NumPy, SciPy, pandas) and statistical software.
• Deep comprehension of financial derivatives, yield curves, stochastic calculus, and capital regulations.

Core Competencies & Key Technical Proficiencies

The successful applicant will possess demonstrated capabilities across the following domain skill sets:

Salary, Compensation & Employee Benefits

At ANZ Banking Group, we understand that our people drive our achievements. An outstanding remuneration and wellbeing package is provided in line with Australian benchmarks:

• Competitive Remuneration: AU$155,000 – AU$185,000 per year + standard Australian Superannuation (11.5%).
• Competitive salary ($155,000 – $185,000) + performance-based institutional bonus.
• State-of-the-art ANZ Centre Docklands with river views, rooftop recreation, and hybrid work flexibility.
• Comprehensive health benefits, corporate banking perks, and continuous quant research sponsorship.
• Leave Entitlements: 4 weeks annual leave (with 17.5% annual leave loading where applicable) plus 10 days paid personal/carer’s leave.
• Flexible Work: Progressive work-life balance options with supportive corporate culture and leadership development pathways.

About the Employer: ANZ Banking Group

ANZ is one of the top four banks in Australia, providing banking and financial services to individuals, small businesses, and institutions globally.

ANZ Banking Group is deeply committed to building diverse, equitable, and culturally inclusive work environments. We proudly celebrate diversity and welcome applications from all qualified individuals including First Nations Australians, people with disabilities, and candidates from culturally and linguistically diverse backgrounds.

Application Process & Next Steps

Applications for this position are currently open and being reviewed on a rolling basis. Suitable candidates are encouraged to apply as early as possible before the published closing date.

Please prepare an updated Curriculum Vitae (CV) and a tailored Cover Letter highlighting your relevant experience against the key selection criteria outlined above.

To proceed with your application, click the Apply on Employer Site button to access the official ANZ Banking Group careers gateway.